Project Manager / SM

Job Summary

We are seeking a Senior Project Manager to support a large-scale Data Warehouse Modernization Program (~200,000 hours, multi-year). This role will partner closely with the Program Manager leadership team to drive parallel workstreams, manage cross-functional dependencies, and ensure predictable delivery within cost and timeline commitments.

The ideal candidate will have strong experience managing complex data transformation programs, handling multi-stream execution, and driving governance in hybrid ( Agile + Waterfall ) environments.

Location: Bangalore

Key Responsibilities Delivery Execution Management

• Own end-to-end delivery of multiple parallel workstreams (35 streams)
• Develop and manage integrated master schedule (IMS) and delivery plans
• Track milestones, critical path, and deliverables
• Drive execution to ensure on-time, high-quality delivery

Dependency Workstream Orchestration

• Identify and manage cross-workstream dependencies
• Enable safe parallelization / shift-left execution strategies
• Conduct dependency reviews, execution war rooms, and alignment forums
• Resolve integration bottlenecks and sequencing conflicts

Financial Effort Governance

• Track effort burn vs baseline (200K+ hours program)
• Monitor:
  • Resource utilization
  • Budget adherence
  • Cost variances
• Support forecasting, re-baselining, and cost optimization

Risk, Issue Change Management

• Maintain and actively manage RAID logs
• Identify risks related to:
  • Parallel execution
  • Data migration
  • Integration dependencies
• Drive proactive mitigation and escalation management

Stakeholder Management Reporting

• Interface with:
  • Program Manager
  • Client stakeholders
  • Architecture Data teams
• Provide:
  • Executive-level status updates
  • Insightful reporting (risks, trends, decisions needed)

Agile Hybrid Delivery Governance

• Manage delivery across:
  • Agile teams (ETL, pipelines, reporting)
  • Waterfall phases (migration, platform setup)
• Support:
  • Sprint planning, PI planning
  • Milestone-based governance

Quality Release Management

• Define entry/exit criteria for key phases
• Oversee:
  • Integrated testing coordination
  • Release readiness across streams
• Ensure data quality and validation checkpoints

Team Leadership

• Lead large distributed teams (3080+ resources)
• Coordinate workstream leads and delivery pods
• Foster accountability, collaboration, and delivery discipline

Required Experience

Must-Have

• 1218 years of overall experience
• 7+ years in Project/Delivery Management roles
• Proven experience in:
  • Large-scale programs (>100K hours / $10M+)
  • Data Warehouse / Data Lake / Cloud Modernization initiatives
• Experience managing parallel workstreams and complex dependencies

Preferred

• Experience in:
  • Cloud data platforms (Azure, AWS, Snowflake, Databricks)
  • Data migration / legacy modernization programs
  • Multi-vendor or global delivery environments

Required Skills Delivery Governance

• Integrated planning (MS Project / Smartsheet / Primavera)
• Dependency critical path management
• Earned Value Management (EVM)

Technical Awareness

• Data warehousing concepts
• ETL/ELT pipelines
• Data modeling (dimensional / lakehouse)
• Familiarity with modern cloud data ecosystems

Parallel Execution Expertise

• Managing scaled delivery with multiple concurrent streams
• Handling shift-left execution challenges
• Conflict and dependency resolution at scale

Financial Commercial Acumen

• Budget management and forecasting
• Effort tracking and variance analysis
• Cost control and optimization

Communication Leadership

• Excellent stakeholder communication
• Executive reporting and storytelling
• Strong negotiation and conflict resolution skills

Agile / Hybrid Delivery

• Experience in Agile (Scrum / SAFe)
• Ability to manage hybrid delivery models

Key Success Traits

• Structured, execution-focused mindset
• Ability to anticipate risks early
• Strong ownership and accountability
• Comfortable operating in ambiguous, fast-paced environments
• Ability to challenge assumptions and drive fact-based decisions

Screening Criteria (Nice to evaluate early)

• Has managed parallel workstreams at scale
• Demonstrates financial and effort governance maturity
• Has handled data transformation programs (not just generic IT PM)

Reporting Structure

Reports to: Program Manager
Works closely with: Workstream Leads, Architects, Data Engineers, Client Stakeholders